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Thoracic Cancer logoLink to Thoracic Cancer
. 2015 Aug 28;7(2):161–166. doi: 10.1111/1759-7714.12304

Pretreatment neutrophil‐lymphocyte ratio is not a significant prognostic factor in epidermal growth factor receptor‐mutant non‐small cell lung cancer patients treated with tyrosine kinase inhibitors

Sung Hoon Sim 1, Seung‐Hoon Beom 1, Yong‐Oon Ahn 2, Bhumsuk Keam 1,2, Tae Min Kim 1,2, Se‐Hoon Lee 1,2, Dong‐Wan Kim 1,2, Dae Seog Heo 1,2,
PMCID: PMC4773306  PMID: 27042217

Abstract

Background

The neutrophil‐lymphocyte ratio (NLR) is a marker of poor prognosis in lung cancer patients. However, previous data have been based on an heterogeneous population of lung cancer patients and various treatments. In this study, we evaluate the prognostic value of NLR in an homogeneous population of epidermal growth factor receptor (EGFR)‐mutant non‐small cell lung cancer (NSCLC) patients.

Methods

We restrospectively evaluated the data of 250 NSCLC patients with EGFR mutations. All data are based on first‐line treatment.

Results

All tumors harbored in‐frame deletions in exon 19 or an L858R point mutation. Eighty‐five patients were treated with tyrosine kinase inhibitors (TKIs), while 165 received cytotoxic chemotherapy as first‐line treatment. Multivariate survival analysis revealed that the NLR was a significant prognostic factor for first‐line progression‐free survival (PFS) in the chemotherapy group (hazard ratio [HR] 1.882, 95% confidence interval [CI] 1.319–2.686, P = 0.001), but was not significant in the TKI group (HR 1.239, 95% CI 0.693–2.215, P = 0.469). The response rate (RR) to first‐line treatment was 76.5% in the TKI group and 29.5% in the chemotherapy group; however, the RR, according to the NLR (≤3 vs. > 3), was the same for both groups.

Conclusions

The NLR was a significant prognostic factor in the chemotherapy group, but it did not affect either RR or PFS in EGFR‐mutant NSCLC patients treated with TKIs.

Keywords: Epidermal growth factor receptor mutation, neutrophil lymphocyte ratio, non‐small cell lung cancer, tyrosine kinase inhibitor

Introduction

Inflammation and cancer are related diseases; inflammation can not only promote carcinogenesis but tumor cells can also stimulate systemic inflammation, which is reflected in changes in various inflammatory markers.1, 2 However, most inflammatory markers are not routinely assessed before cancer treatments.3, 4, 5

For clinical use, prognostic factors should be simple, inexpensive, and reproducible.5 One attractive marker of cancer‐related inflammation is the neutrophil‐lymphocyte ratio (NLR), which is readily available in complete blood cell (CBC) counts and is associated with disease prognosis in various types of cancer.6, 7, 8

However, the utility of this marker in epidermal growth factor receptor (EGFR)‐mutant non‐small cell lung cancer (NSCLC) is not known. Recent discovery of EGFR mutation and use of tyrosine kinase inhibitors (TKIs) has substantially improved survival outcome.9, 10 However, it is not known whether the NLR can reflect disease prognosis. Herein, we investigated whether the NLR is a prognostic factor of progression‐free survival (PFS) in EGFR‐mutant NSCLC patients treated with first‐line cytotoxic chemotherapy or TKI.

Methods

Patients and study design

We retrospectively analyzed the EGFR‐TKI registry database of the Seoul National University Hospital (Seoul, Korea). Patients who met the following inclusion criteria were enrolled in the study: (i) pathological diagnosis of NSCLC between January 2005 and December 2011; (ii) presence of a gefitinib‐sensitive EGFR mutation, specifically, either an in‐frame deletion in exon 19 (del19) or an L858R point mutation in exon 21; (iii) clinical stage IIIB or IV disease, as determined by imaging; and (iv) a CBC count within 31 days of commencing first‐line treatment. The exclusion criteria were: presence of an active infection, or treatment with steroids or antimicrobial drugs before the CBC count was performed. Objective tumor responses to chemotherapy were assessed by Response Evaluation Criteria in Solid Tumors (version 1.0).11

This study was approved by the institutional review board of the Seoul National University Hospital and was performed in accordance with the Declaration of Helsinki.

Statistical analyses

Categorical variables were analyzed using Pearson's χ2 or Fisher's exact tests. Survival analyses were performed using the Kaplan–Meier method or Cox proportional hazard model. All groups were compared with the log‐rank test. Receiver operating characteristic curve analysis was performed to determine the NLR cut‐off, which produced the best sensitivity and specificity for median PFS. Specifically, NLRs >3.0 were considered to be high, while those ≤3.0 were considered to be low.

Univariate and multivariate analyses were performed using the Kaplan–Meier method and Cox regression. A two‐sided P value <0.05 was considered statistically significant.

Results

Patients

We identified 270 patients in the NSCLC database who had EGFR mutations and received TKIs. Of these, 20 were excluded (7 received steroids or antimicrobials before treatment and 13 did not have a CBC count within 31 days of the first treatment), which left 250 patients in the study (Fig 1). Patients' median age was 64 years (range: 31–85). Most patients had lung adenocarcinoma tumors (91.6%). Eastern Cooperative Oncology Group performance status (PS) was 0 or 1 in 214 patients (85.6%) and ≥2 in 36 patients (1.4%). First‐line treatment was cytotoxic chemotherapy in 165 patients (66%) and TKIs in 85 patients (34%). In the first‐line cytotoxic chemotherapy group, 155 out of 165 patients (93.9%) received EGFR‐TKI treatment as second‐line treatment, while the remaining patients received EGFR‐TKI as third‐line or further. In the first‐line EGFR‐TKI group, 23 out of 33 patients (69%) who were eligible for subsequent treatment received cytotoxic chemotherapy as second‐line treatment. Age, gender, PS, and the number of metastatic sites differed significantly between the cytotoxic chemotherapy and TKI groups (P = 0.004, 0.044, 0.001, and 0.030, respectively) (Tables 1, S3).

Figure 1.

figure

Patient number and analysis flow. CBC, complete blood cell; NLR, neutrophil‐lymphocyte ratio; PFS, progression‐free survival; RR, response rate; TKI, tyrosine kinase inhibitors.

Table 1.

Patient characteristics

Variable Chemotherapy group (n = 165) TKI group (n = 85) P value Total (n = 250)
Age Median (range) 62 (31–82) 67 (46–85) 0.004 63.6 (31–85)
Gender Male 73 26 0.044 99 (39.6%)
Female 92 59 151 (60.4%)
Disease status Recurred disease 36 20 0.805 56 (22.4%)
Initial metastatic disease 129 65 194 (77.6%)
Smoking History Smoker 53 21 0.247 74 (29.6%)
Never‐smoker 112 64 176 (70.4%)
Histologic type Adenocarcinoma 150 79 0.856 229 (91.6%)
SqCC 2 1 3 (1.2%)
NSCLC, not subtyped 13 5 18 (7.2%)
ECOG PS 0, 1 155 59 0.001 214 (85.6%)
≥2 10 26 36 (1.4.4%)
EGFR mutation type Del19 101 52 0.988 153 (61.2%)
L858R 64 33 97 (38.8%)
Number of metastatic sites 1 42 29 0.030 71 (28.4%)
2 46 31 77 (30.8%)
≥3 77 25 102 (40.8%)
First‐line treatment regimen Platinum based combination 157 0 NA 157 (62.8%)
Gemcitabine single 7 0 7 (2.8%)
Vinorelbine single 1 0 1 (0.4%)
TKI 0 85 85 (34.0%)
TKI treatment line First‐line 85 NA 85 (34.0%)
Second‐line 152 152 (60.8%)
Third‐line or further 13 13 (5.2%)

ECOG, Eastern Cooperative Oncology Group; EGFR, epidermal growth factor receptor; PS, performance status; SqCC, squamous cell carcinoma; TKI, tyrosine kinase inhibitor.

Relationship between the neutrophil‐lymphocyte ratio and response rate

Complete blood cell counts and differential count tests were performed for routine pretreatment assessment (Table S1). The median time between the CBC count and the first treatment was seven days.

The response rates (RRs) were 29.5% (95% confidence interval [CI] 22.9–37.1) in the cytotoxic chemotherapy group and 76.5% (95% CI 66.2–84.4) in the TKI group (Table S2). Thirteen patients were not included as a result of loss to follow‐up or early withdrawal from treatment. There was no difference in RR between high and low NLR patients in both the cytotoxic chemotherapy and TKI groups (P = 0.595 and 0.173, respectively) (Table 2).

Table 2.

Response rate of first‐line treatment according to (NLR)

First‐line treatment Response rate (%) Total P value
NLR ≤ 3 NLR > 3
Cytotoxic chemotherapy 30/101 (29.7) 16/55 (29.1) 46/156 (29.5) 0.595
EGFR‐TKI 46/57 (80.7) 16/24 (66.6) 62/81 (76.5) 0.173
Total 76/158 (48.1) 32/79 (40.5) 108/237 (45.6)

EGFR‐TKI, epidermal growth factor receptor‐tyrosine kinase inhibitor; NLR, neutrophil‐lymphocyte ratio.

Factors associated with progression‐free survival

Median PFS was 4.9 months (95% CI 4.266–5.534) in the cytotoxic chemotherapy group and 10.8 months (95% CI 9.167–12.433) in the TKI group (Fig 2).

Figure 2.

figure

Kaplan–Meier plot for progression‐free survival (PFS) according to neutrophil‐lymphocyte ratio (NLR). A high NLR showed poor PFS in (a) the cytotoxic chemotherapy group but (b) did not in the TKI group. Inline graphic, NLR ≤ 3.0; Inline graphic, NLR > 3.0.

In the cytotoxic chemotherapy group, univariate analysis showed that poor PS, high NLR, and large numbers of metastatic sites were significantly associated with reduced PFS (P = 0.004, 0.001, and 0.021, respectively; Table 3). However, in the TKI group, a large number of metastatic sites was the only statistically significant association with reduced PFS (P = 0.002). Multivariate analysis revealed that the NLR was significantly associated with PFS in the cytotoxic chemotherapy group (P < 0.001, HR 1.882, 95% CI 1.319–2.686), but not in the TKI group (P = 0.469, HR 1.239, 95% CI 0.693–2.215; Table 4). Age and PS were also significantly associated with PFS in the cytotoxic chemotherapy group (P = 0.038 and 0.008, respectively), but the number of metastatic sites at baseline was the only significant association with PFS in the TKI group (P = 0.003).

Table 3.

Univariate analysis of PFS in chemotherapy and TKI treatment groups

Variable Cytotoxic chemotherapy group TKI treatment group
n HR 95% CI P value n HR 95% CI P value
Age at diagnosis ≤65 97 0.721 0.530–1.008 0.056 38 0.871 0.523–1.449 0.595
≥65 68 47
Gender M 73 0.863 0.631–1.181 0.358 26 0.681 0.402–1.153 0.152
F 92 59
Pathology Adenocarcinoma 150 1.096 0.640–1.875 0.738 79 1.317 0.521–3.331 0.560
SqCC or NSCLC not‐subtyped 15 6
ECOG PS 0, 1 155 2.573 1.347–4.917 0.004 59 1.469 0.835–2.584 0.182
≥2 10 26
Smoking Smoker 53 0.989 0.708–1.384 0.950 21 0.737 0.424–1.282 0.280
Never‐smoker 112 64
Initial disease presentation Metastatic 129 0.724 0.498–1.051 0.089 65 0.581 0.322–1.049 0.072
Recurred 36 20
NLR ≤3 107 2.037 1.454–2.854 0.001 58 1.363 0.777–2.393 0.280
>3 58 27
Initial no. of metastatic sites 1,2 88 1.457 1.059–2.003 0.021 60 2.406 1.389–4.166 0.002
≥3 77 25

CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; NLR, neutrophil‐lymphocyte ratio; NSCLC, non‐small cell lung cancer; PS, performance status; SqCC, squamous cell carcinoma; TKI, tyrosine kinase inhibitor.

Table 4.

Multivariate analysis of PFS according to first line treatment

Variables Chemotherapy TKI
HR 95% CI P value HR 95% CI P value
Age ≤ 65 years 1 0.511–0.981 0.038 1 0.533–1.532 0.707
>65 years 0.708 0.904
ECOG PS 0, 1 1 1.276–4.946 0.008 1 0.662–2.157 0.555
≥2 2.513 1.195
No. of metastatic sites before treatment 1, 2 1 0.847–1.678 0.313 1 1.319–4.022 0.003
≥3 1.192 2.303
Initial disease presentation Metastatic 1 0.593–1.278 0.480 1 0.346–1.152 0.134
Recurred 0.871 0.631
NLR <3 1 1.319–2.686 <0.001 1 0.693–2.215 0.469
≥3 1.882 1.239

CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; NLR, neutrophil‐lymphocyte ratio; PS, performance status; TKI, tyrosine kinase inhibitor.

Discussion

Our results showed that the NLR had different effects on PFS, according to treatment type. The NLR was a significant prognostic factor in the chemotherapy group, but in EGFR‐mutant NSCLC patients treated with TKIs, PFS was not affected. As for treatment response, the NLR did not affect the RR of cytotoxic chemotherapy or TKI treatment in EGFR‐mutant NSCLC patients.

Cancer‐induced inflammation can elevate the NLR, because both neutrophilia and relative lymphocytopenia occur in various tumors.12 Several studies have suggested that increased cytokine levels may be responsible for changes in the NLR.12, 13, 14, 15 For example, increases in interleukin 7 (IL‐7) may increase innate anti‐tumor immunity, whereas increases in IL‐17 or IL‐4 may be associated with tumor‐induced immune suppression.14, 15

Although the underlying causes of changes in the NLR are not well defined, several studies agree that a high NLR (defined as NLR >3–5) is associated with poor PFS or overall survival (OS) in adjuvant treatment or palliative care settings.7, 12 However, it is difficult to compare our findings because most previous studies on the prognostic utility of the NLR in NSCLC did not consider EGFR mutation status or treatment with TKIs. This study evaluated the prognostic utility of the NLR in a relatively homogeneous group of NSCLC patients who all had EGFR mutations, unlike previous studies.16, 17

In patients who received first‐line cytotoxic chemotherapy, the NLR was a significant prognostic factor for PFS, consistent with the results of previous reports.7, 18 Although a direct comparison was not possible because of the lack of an EGFR mutation negative study population, this result may suggest that the effect of NLR may have a consistent effect on PFS, regardless of EGFR mutation status, in patients treated with cytotoxic chemotherapy.

There have been few studies investigating the utility of the NLR in NSCLC patients with EGFR mutations treated with TKIs. The post‐hoc analysis of the First‐SIGNAL study showed that the difference between pretreatment and post‐treatment NLRs is a significant prognostic factor, but that pretreatment NLR alone was not significantly associated with either RR or survival.17 Another study also showed that a pretreatment NLR is not associated with TKI RR.16

In our study, the pretreatment NLR was not related to the RR of first‐line treatment nor was it a prognostic factor for PFS in the TKI group.

This suggests that immune status affects the PFS of NSCLC patients treated with TKIs less than those who are treated with cytotoxic chemotherapy as first‐line therapy. Because NSCLC tumors with activating EGFR mutations are dependent on EGFR signal transduction, inhibition of EGFR signaling pathways could counteract immune suppressive effects in the tumor microenvironment.

This study has several limitations. First, because of the retrospective nature of this study, pretreatment CBC counts were not performed at the same time in all patients; however, this might reflect actual clinical settings. Second, post‐treatment blood cell counts were not analyzed. However, the post‐treatment blood cell count can be affected by various situations, such as hidden infection or treatment‐induced hematologic toxicity. Therefore, it may not be a robust factor reflecting survival outcomes. Third, we did not investigate the association between the pretreatment NLR and OS. However, all patients received TKI and more than half of the patients received third‐line or further chemotherapy. Subsequent treatments can affect OS, which makes analysis difficult.

Recently, the results of a programmed death‐1 (PD‐1) or programmed death ligand‐1 (PD‐L1) antibody agent study shed light on immune treatment for lung cancer.19 The immunologic process involved in cancer development and progress is gaining attention. In terms of TKI treatment, our study suggested that pretreatment immune status may not affect TKI treatment outcome. The survival outcome of a current trial involving a combination of TKIs and an immune checkpoint agent should soon be available.

In conclusion, our results demonstrated that the NLR was a significant prognostic factor in the chemotherapy group, but did not affect either RR or PFS in EGFR‐mutant NSCLC patients treated with TKIs. These findings suggest that pretreatment immune status may not affect the outcome of TKI therapy; however, further research on the role of the NLR in NSCLC patients with EGFR mutations is needed.

Disclosure

No authors report any conflict of interest.

Supporting information

Table S1 Complete blood cell (CBC) count profile according to treatment type.

Table S2 Response rate of first‐line treatment.

Table S3 Platinum‐based chemotherapy regimen in first‐line cytotoxic chemotherapy group.

Acknowledgment

This study was supported by grants from the Innovative Research Institute for Cell Therapy, Republic of Korea (A062260).

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Table S1 Complete blood cell (CBC) count profile according to treatment type.

Table S2 Response rate of first‐line treatment.

Table S3 Platinum‐based chemotherapy regimen in first‐line cytotoxic chemotherapy group.


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